CONASENSE 2025 – Call for Papers

15^th CONASENSE Workshop co-located with IEEE WPMC 2025: Cognitive, Energy-Efficient IoT-Edge-Cloud Resource Orchestration 

Co-located with IEEE WPMC 2025

The development of a sustainable 6G ecosystem requires a debate based on the articulation of different areas and experts in communications, sensing, human-centric services, and sustainability. A key technological driver in this vision is the virtualization and softwarization of network and compute resources, enabling large-scale adaptation while supporting a vast number of connected devices. This discussion extends beyond traditional data communications to encompass end-to-end resource management across the IoT-Edge-Cloud continuum. 

In this context, computation and networking are increasingly intertwined, and AI plays a critical role in enabling network automation, optimization, and intelligent orchestration. To ensure the resilient and energy-efficient deployment of applications, research must address novel architectural, networking, and orchestration paradigms that go beyond conventional cloud and telecom infrastructures. 

The CONASENSE Workshop 2025 focuses on efficient and resilient resource management across IoT-Edge-Cloud infrastructures, emphasizing AI-driven orchestration strategies designed for energy efficiency by default. From a Telco-Cloud perspective, the workshop invites contributions that explore how cloud-native architectures, AI-driven network automation, and the integration of SDN and Kubernetes can enhance the efficiency, scalability, and adaptability of next-generation networks, particularly in the Edge-Cloud continuum. 

Submissions are invited in two formats:

• Regular research papers, limited to six pages (excluding references and appendices) in IEEE two-column 10pt format, must be original, unpublished, and not under review elsewhere. These papers will undergo a double-blind peer review, and accepted submissions will be presented at the workshop and included in the IEEE WPMC 2025 proceedings.

• Extended abstracts of up to two pages (excluding references) are welcome for early-stage research and position papers. These abstracts provide an opportunity for authors to showcase preliminary ideas and receive early feedback. Accepted abstracts will be presented as lightning talks or demos but will not be included in the conference proceedings. 

The workshop shall provide a best paper award and a best talk award, based on audience voting during the workshop, provided with support of the Horizon Europe project CODECO (Cognitive Decentralised Edge Cloud Orchestration).

Furthermore, derived from the workshop, the organizers shall edit an open access book with chapters based on the best presentations and focus on the technological advancements. The book will be part of the CONASENSE Open Access book series, edited by River publishers. 

Topics of interest include but are not limited to the following: 

• Microservice-based and service-oriented network architectures targeting low-latency applications, energy awareness by design. 

• Open architectural designs for energy-efficient networking. 

• Decentralised learning for autonomous network optimization. 

• Network slicing and orchestration for multi-tenant environments. 

• Collaborative AI for multi-domain network management. 

• Integration of non-terrestrial networks (satellite, UAVs) in Edge-Cloud infrastructures. 

• Open-source tools and frameworks for large-scale experimentation across IoT-Edge-Cloud. 

• Use-case deployment for massive IoT-Edge-Cloud applications. 

• ML models, including LLMs and mini LLMs, to improve overall networking performance metrics (e.g., latency, throughput, energy dissipation, use of green energy, security, etc.) across the Edge-Cloud continuum. 

• Energy-aware QoS models. 

• Network exposure architectures and mechanisms for federated multi-tenant environments. 

• Energy efficiency aspects in edge-cloud continuum, e.g., telemetry, probing, exposure across multi-tenant, federated environments. 

• AI/ML-based Joint orchestration of cross-layer data (network, compute, data resources). 

• Dynamic SDN-based network overlays for Kubernetes federation (e.g., VXLAN, Geneve, SRv6). 

• Automated service discovery and inter-cluster routing with SDN controllers. 

• Reinforcement learning for intelligent path selection across federated clusters. 

• Network-aware migration of microservices across Edge-Cloud environments (including far Edge). 

• Federated resource scheduling optimized for network conditions using SDN telemetry. 

• Data observability, network optimization, and closed-loop automation. 

• Real-world use cases, experimentation, and evaluation of cross-layer orchestration strategies.